J. Wolfe

Publications586
h-index76
Citations26,228
Highly Influential Citations1,807
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Guided Search 2.0 A revised model of visual search
  • J. Wolfe
  • Computer Science
    Psychonomic bulletin & review
  • 1 June 1994
TLDR
This paper reviews the visual search literature and presents a model of human search behavior, a revision of the guided search 2.0 model in which virtually all aspects of the model have been made more explicit and/or revised in light of new data.
Guided Search 4.0: Current Progress With a Model of Visual Search
  • J. Wolfe
  • Psychology
    Integrated Models of Cognitive Systems
  • 2007
TLDR
GS evolved out of the two-stage architecture of models like Treisman's feature integration theory (FIT), which proposed a parallel, preattentive first stage and a serial second stage controlled by visual selective attention.
Guided search: an alternative to the feature integration model for visual search.
TLDR
Searches for triple conjunctions (Color X Size X Form) are easier than searches for standard conjunctions and can be independent of set size, and three parallel processes can guide attention more effectively than two.
What attributes guide the deployment of visual attention and how do they do it?
As you drive into the centre of town, cars and trucks approach from several directions, and pedestrians swarm into the intersection. The wind blows a newspaper into the gutter and a pigeon does…
What Can 1 Million Trials Tell Us About Visual Search?
In a typical visual search experiment, observers look through a set of items for a designated target that may or may not be present. Reaction time (RT) is measured as a function of the number of…
Modeling the role of parallel processing in visual search
Low target prevalence is a stubborn source of errors in visual search tasks.
TLDR
A regime of brief retraining periods with high prevalence and full feedback allows observers to hold a good criterion during periods of low prevalence with no feedback.
Changing your mind: on the contributions of top-down and bottom-up guidance in visual search for feature singletons.
Observers, searching for targets among distractor items, guide attention with a mix of top-down information--based on observers' knowledge--and bottom-up information--stimulus-based and largely…
Visual search has no memory
TLDR
Human observers are asked to search for a letter ‘T’ among letters ‘L’ and it is shown that efficiency is not impaired, and the standard theories of visual search must be revised.
How fast can you change your mind? The speed of top-down guidance in visual search
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